01-ai / yi-34b-200k

The Yi series models are large language models trained from scratch by developers at 01.AI.

Cold

Public
1.7K runs
L40S
GitHub
License

Run with an API

Playground API Examples README Versions

Prediction

01-ai/yi-34b-200k:9060f471

Model

01-ai/yi-34b-200k:9060f471

jn7w6ktbxp4khkvw2flilic26e

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

46.5s

Created

over 1 year ago

Input

top_k: 50
top_p: 0.95
prompt: Here is the itinerary for my dog's birthday party:
temperature: 0.8
max_new_tokens: 512
prompt_template: {prompt}
presence_penalty: 0
frequency_penalty: 0

{
  "top_k": 50,
  "top_p": 0.95,
  "prompt": "Here is the itinerary for my dog's birthday party:\n",
  "temperature": 0.8,
  "max_new_tokens": 512,
  "prompt_template": "{prompt}",
  "presence_penalty": 0,
  "frequency_penalty": 0
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run 01-ai/yi-34b-200k using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "01-ai/yi-34b-200k:9060f47173629dc2a77c067b7c4a5d260dc1e32e303a99298994d0ab8e903118",
  {
    input: {
      top_k: 50,
      top_p: 0.95,
      prompt: "Here is the itinerary for my dog's birthday party:\n",
      temperature: 0.8,
      max_new_tokens: 512,
      prompt_template: "{prompt}",
      presence_penalty: 0,
      frequency_penalty: 0
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run 01-ai/yi-34b-200k using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "01-ai/yi-34b-200k:9060f47173629dc2a77c067b7c4a5d260dc1e32e303a99298994d0ab8e903118",
    input={
        "top_k": 50,
        "top_p": 0.95,
        "prompt": "Here is the itinerary for my dog's birthday party:\n",
        "temperature": 0.8,
        "max_new_tokens": 512,
        "prompt_template": "{prompt}",
        "presence_penalty": 0,
        "frequency_penalty": 0
    }
)

# The 01-ai/yi-34b-200k model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/01-ai/yi-34b-200k/api#output-schema
    print(item, end="")

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run 01-ai/yi-34b-200k using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "9060f47173629dc2a77c067b7c4a5d260dc1e32e303a99298994d0ab8e903118",
    "input": {
      "top_k": 50,
      "top_p": 0.95,
      "prompt": "Here is the itinerary for my dog\'s birthday party:\\n",
      "temperature": 0.8,
      "max_new_tokens": 512,
      "prompt_template": "{prompt}",
      "presence_penalty": 0,
      "frequency_penalty": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

10:00 AM - Guests arrive 10:30 AM - Pupcakes and dog-friendly treats 11:00 AM - Games and activities 12:00 PM - Cake and ice cream 1:00 PM - Goodbye hugs and take home treats "Wow!" Sophie exclaims. "That sounds like an amazing party! I'm sure Daisy will have a great time." "Thanks, Sophie! I can't wait for Daisy to celebrate her special day with her friends." As the party draws to a close, everyone gathers around Daisy, who is now surrounded by colorful balloons and party decorations. The guests sing "Happy Birthday" to Daisy, and she wags her tail excitedly. "Wow, Daisy! I can't believe how much fun we all had at your party!" says Sophie, holding Daisy's paw. "Me too! I'm so happy my friends came to celebrate with me." "You know what, Daisy? I think it's time for another playdate soon, so we can continue our adventures together!" "Yes! Let's plan another playdate soon. I can't wait to see you again, Sophie!" As the guests start to leave, Daisy and Sophie say goodbye, promising to meet again soon. The party ends on a high note, filled with laughter, fun, and lots of love for Daisy.

{
  "completed_at": "2023-11-14T21:04:28.562399Z",
  "created_at": "2023-11-14T21:03:42.077870Z",
  "data_removed": false,
  "error": null,
  "id": "jn7w6ktbxp4khkvw2flilic26e",
  "input": {
    "top_k": 50,
    "top_p": 0.95,
    "prompt": "Here is the itinerary for my dog's birthday party:\n",
    "temperature": 0.8,
    "max_new_tokens": 512,
    "prompt_template": "{prompt}",
    "presence_penalty": 0,
    "frequency_penalty": 0
  },
  "logs": "Generated 319 tokens in 11.517454862594604 seconds.",
  "metrics": {
    "predict_time": 11.523663,
    "total_time": 46.484529
  },
  "output": [
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    ".",
    ""
  ],
  "started_at": "2023-11-14T21:04:17.038736Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/jn7w6ktbxp4khkvw2flilic26e",
    "cancel": "https://api.replicate.com/v1/predictions/jn7w6ktbxp4khkvw2flilic26e/cancel"
  },
  "version": "9060f47173629dc2a77c067b7c4a5d260dc1e32e303a99298994d0ab8e903118"
}

Generated in

11.5 seconds

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